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Domain Name System (DNS)
Introduction to DNS
DNS Resolution Process
DNS Load Balancing and High Availability
Caching
Introduction to Caching
Why is Caching Important?
Types of Caching
Cache Replacement Policies
Cache Invalidation
Cache Read Strategies
Cache Coherence and Consistency Models
Caching Challenges
Cache Performance Metrics
CDN
What is CDN?
Origin Server vs. Edge Server
CDN Architecture
Push CDN vs. Pull CDN
Data Partitioning
Introduction to Data Partitioning
Partitioning Methods
Data Sharding Techniques
Benefits of Data Partitioning
Common Problems Associated with Data Partitioning
Proxies
What is a Proxy Server?
Uses of Proxies
VPN vs. Proxy Server
Redundancy and Replication
What is Redundancy?
What is Replication?
Replication Methods
Data Backup vs. Disaster Recovery
CAP & PACELC Theorems
Introduction to CAP Theorem
Components of CAP Theorem
Trade-offs in CAP Theorem
Examples of CAP Theorem in Practice
Beyond CAP Theorem
System Design Trade-offs in Interviews
Databases (SQL vs. NoSQL)
Introduction to Databases
SQL Databases
NoSQL Databases
SQL vs. NoSQL
ACID vs BASE Properties
Real-World Examples and Case Studies
SQL Normalization and Denormalization
In-Memory Database vs. On-Disk Database
Data Replication vs. Data Mirroring
Database Federation
Indexes
What are Indexes?
Types of Indexes
Bloom Filters
Introduction to Bloom Filters
Benefits & Limitations of Bloom Filters
Variants and Extensions of Bloom Filters
Applications of Bloom Filters
Long-Polling vs. WebSockets vs. Server-Sent Events
Difference Between Long-Polling, WebSockets, and Server-Sent Events
Quorum
What is Quorum?
Heartbeat
What is Heartbeat?
Checksum
What is Checksum?
Uses of Checksum
Leader and Follower
What is Leader and Follower Pattern?
Security
What is Security and Privacy?
What is Authentication?
What is Authorization?
Authentication vs. Authorization
OAuth vs. JWT for Authentication
What is Encryption?
What are DDoS Attacks?
Distributed Messaging System
Introduction to Messaging System
Introduction to Kafka
Messaging patterns
Popular Messaging Queue Systems
RabbitMQ vs. Kafka vs. ActiveMQ
Scalability and Performance
Distributed File Systems
What is a Distributed File System?
Architecture of a Distributed File System
Key Components of a DFS
Misc Concepts
Batch Processing vs. Stream Processing
XML vs. JSON
Synchronous vs. Asynchronous Communication
Push vs. Pull Notification Systems
Microservices vs. Serverless Architecture
Message Queues vs. Service Bus
Stateful vs. Stateless Architecture
Event-Driven vs. Polling Architecture
Final Quiz
Quiz
TCP vs. UDP
TCP (Transmission Control Protocol) and UDP (User Datagram Protocol) are two of the main protocols used for transmitting data over the internet. Each has its characteristics, advantages, and disadvantages, making them suitable for different types of applications.
TCP (Transmission Control Protocol)
Definition
- TCP is a connection-oriented protocol that ensures reliable, ordered, and error-checked delivery of a stream of bytes between applications.
Characteristics
- Reliability: TCP ensures that data is delivered accurately and in order, retransmitting lost or corrupted packets.
- Connection-Oriented: Establishes a connection between sender and receiver before transmitting data.
- Flow Control: Manages data transmission rate to prevent network congestion.
- Congestion Control: Adjusts the transmission rate based on network traffic conditions.
- Acknowledgements and Retransmissions: Uses acknowledgments to confirm receipt of data and retransmits if necessary.
Use Cases
- Applications where reliability and order are critical, like web browsing (HTTP/HTTPS), email (SMTP, POP3, IMAP), and file transfers (FTP).
Example
- Loading a webpage: TCP is used to ensure all web content is loaded correctly and in the right order.
UDP (User Datagram Protocol)
Definition
- UDP is a connectionless protocol that sends messages, called datagrams, without establishing a prior connection and without guaranteeing reliability or order.
Characteristics
- Low Overhead: Does not establish a connection, leading to lower overhead and latency.
- Unreliable Delivery: Does not guarantee message delivery, order, or error checking.
- Speed: Faster than TCP due to its simplicity and lack of retransmission mechanisms.
- No Congestion Control: Does not reduce transmission rates under network congestion.
Use Cases
- Applications that require speed and can tolerate some loss of data, like streaming video or audio, online gaming, or VoIP (Voice over Internet Protocol).
Example
- Streaming a live sports event: UDP is used for faster transmission, even if it means occasional pixelation or minor video artifacts.
Key Differences
-
Reliability:
- TCP: Reliable transmission, ensuring data is delivered accurately and in order.
- UDP: Unreliable transmission; data may be lost or arrive out of order.
-
Connection:
- TCP: Connection-oriented; establishes a connection before transmitting data.
- UDP: Connectionless; sends data without establishing a connection.
-
Speed and Overhead:
- TCP: Slower due to handshaking, acknowledgments, and congestion control.
- UDP: Faster with minimal overhead, suitable for real-time applications.
-
Data Integrity:
- TCP: High data integrity, suitable for applications like file transfers and web browsing.
- UDP: Lower data integrity, acceptable for applications like streaming where perfect accuracy is less critical.
-
Use Case Suitability:
- TCP: Used when data accuracy is more critical than speed.
- UDP: Used when speed is more critical than accuracy.
Conclusion
TCP is used for applications where reliable and accurate data transmission is crucial, whereas UDP is chosen for applications where speed is more important than reliability, and some loss of data is acceptable.
HTTP vs. HTTPS
HTTP: 1.0 vs. 1.1 vs 2.0 vs. 3.0
Mark as Completed
On this page
TCP (Transmission Control Protocol)
Definition
Characteristics
Use Cases
Example
UDP (User Datagram Protocol)
Definition
Characteristics
Use Cases
Example
Key Differences
Conclusion